technicalsummit

Unlocking Context Engineering with Microsoft Foundry and Neo4j – Discover how graph databases and agentic workflows work together through a live demo using Neo4j’s POLE model and the Microsoft Foundry In just a few steps, we show how agents can… Read more →

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Jfokus 2026

Jfokus is all about developers! Java SE & Java EE, Frontend & Web, GenAI and AI, Continuous Delivery & DevOps, Cloud & Big Data, Future & Trends, Alt.JVM Languages, Agile development.

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[London] January Meetup JSMonthly

UI in the AI age – Adam Crowley

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[London] AI Engineering #9

Join London’s coolest AI crowd for an evening of demos, drinks, and great conversations. ​Speakers ​​Vasilije Markovic – Founder @ Cognee ​”Implementing shareable, domain-specific Agentic memory”

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Effective Context Engineering Techniques for AI – Europe

Join us for a 30 minute session that will explore effective context engineering techniques and show you how to provide the foundational context AI needs to be trustworthy and impactful.

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GraphSummit Nordics 2026

Join us in Copenhagen for a full day of insights, real-world examples, and hands-on learning. Discover how to make your data AI-ready with Neo4j Graph Intelligence Platform and build next-gen AI systems that are dynamic and explainable with GraphRAG.

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Transforming UBO Compliance & Financial Crime Detection with Graph Technology & Agentic AI

Join this one-hour live session (with Q&A) to see how Neo4j’s Graph Technology, combined with Agentic AI, empowers financial institutions, compliance and data teams to map ownership networks, uncover hidden links, and deliver faster, more confident decisions.

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Introduction to Graph Data Science

This foundational course takes you from the basics of Graph Data Science (GDS) to independent algorithm work. You’ll learn how to create graph projections, choose and configure algorithms, and interpret results with confidence. By the end, you’ll be able to… Read more →

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Neo4j & Generative AI

This workshop is designed for Generative AI practitioners already familiar with vector-based RAG who want to understand how GraphRAG can elevate LLM outputs. This foundational knowledge will help you quickly grasp how GraphRAG builds on existing techniques like vector-based Retrieval-Augmented… Read more →

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